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Video indexing and retrieval based on recognized text

  • University of Maryland, College Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

In this paper we present our experiments on text-based video indexing and retrieval. Due to expected OCR errors and the lack of semantic breadth in video text, we proposed two solutions: 1) expanding the semantics of the query word, and 2) using Glimpse to perform approximate matching instead of exact matching. The results we achieved showed that semantic expansion and Glimpse can play important roles in video retrieval based on text.

Original languageEnglish
Title of host publicationProceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages245-248
Number of pages4
ISBN (Electronic)0780377133, 9780780377134
DOIs
StatePublished - 2002
Event2002 5th IEEE Workshop on Multimedia Signal Processing, MMSP 2002 - St. Thomas, United States
Duration: Dec 9 2002Dec 11 2002

Publication series

NameProceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002

Conference

Conference2002 5th IEEE Workshop on Multimedia Signal Processing, MMSP 2002
Country/TerritoryUnited States
CitySt. Thomas
Period12/9/0212/11/02

Keywords

  • deo indexing and rerriwcrl
  • video OCR

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